Supply chain data integration: A literature review

Vieira, Antônio; Dias, Luís M. S.; Santos, Maribel Yasmina; Pereira, Guilherme; Oliveira, José A.

doi:10.1016/j.jii.2020.100161

Cited by 35 publications

(9 citation statements)

References 104 publications

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“…In general, when the economic, environmental and social aspects are simultaneously considered, the traditional supply chain converts to a sustainable one. In the two last decades, supply chain managers have given more attention to sustainability to mitigate the effects of their activities on environment, improve their long-term relationship, as well as increase their end-customer satisfaction in their supply chain (Amindoust 2018 ; Stević et al 2020 ; Vieira et al 2020 ). In this regard, many researchers stated that evaluation of suppliers’ performance, as the paramount part of the upstream of supply chain, according to economic and environmental criteria along with social criteria (sustainability criteria), is the key issue in improving the concept of sustainability in a supply chain (Chen et al 2020 ; Fallahpour et al 2017 ; Jain and Singh 2020 ; Kannan 2018 ; Vahidi et al 2018 ).…”

Section: Introductionmentioning

confidence: 99%

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

Fallahpour

Nayeri

Sheikhalishahi

et al. 2021

Environ Sci Pollut Res

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One of the major challenges of the supply chain managers is to select the best suppliers among all possible ones for their business. Although the research on the supplier selection with regards to green, sustainability or resiliency criteria has been contributed by many papers, simultaneous consideration of these criteria in a fuzzy environment is rarely studied. Hence, this study proposes a fuzzy decision framework to investigate the sustainable-resilient supplier selection problem for a real case study of palm oil industry in Malaysia. Firstly, the resilient-based sustainable criteria are localized for the suppliers' performance evaluation in palm oil industry of Malaysia. Accordingly, 30 criteria in three different aspects (i.e. general, sustainable and resilient) are determined by statistical tests. Moreover, a hyper-hybrid model with the use of FDEMATEL (fuzzy decision-making trial and evaluation laboratory), FBWM (fuzzy best worst method), FANP (fuzzy analytical network process) and FIS (fuzzy inference system), simultaneously is developed to employ their merits in an efficient way. In this framework, regarding the outset, the relationships among the criteria/sub-criteria are obtained by FDEMATEL method. Then, initial weights of the criteria/sub-criteria are measured by FBWM method. Next, the final weights of criteria/sub-criteria considering the interrelationships are calculated by FANP. Finally, the performance of the suppliers is evaluated by FIS method. To show the applicability of this hybrid decisionmaking framework, an industrial case of palm oil in Malaysia is presented. The findings indicate the high performance of the proposed framework in this concept and identify the most important criteria including the cost in general aspects, resource consumption as the most crucial sustainable criterion and agility as the most important resilient criterion.

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Section: Introductionmentioning

confidence: 99%

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

Fallahpour

Nayeri

Sheikhalishahi

et al. 2021

Environ Sci Pollut Res

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“…Recent research also developed methods for the companies to manage their processes (Nabhani et al, 2018). Uncertainty happening in the supply chain can cause high costs to the companies so it's important to have simulation models which can calculate the upcoming risk (Vieira et al, 2020). As digital transformation is taking place in almost every organization, it is important to reshape the supply chain system.…”

Section: Literature Review 21 Knowledge Management and Supply Chainmentioning

confidence: 99%

Toward a resilient supply chain model: critical role of knowledge management and dynamic capabilities

Irfan

Sumbal

Khurshid³

et al. 2022

IMDS

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PurposeRecent research has highlighted the beneficial role of supply chain resilience for ensuring efficient production and business processes. The purpose of this study is to explore enablers of supply chain resilience. In particular, the authors examine whether and how dynamic capabilities and knowledge management can help firms develop a resilient supply chain in times of high disruption and uncertainty.Design/methodology/approachA single longitudinal case study design was adopted. Data was collected over 8 years from a Pakistani textile producer and supplier through semi-structured interviews and was analyzed through NVivo to generate codes and themes that contributed to the development of the supply chain resilience model.FindingsThe analysis of case study shows that our focal firm strategically acquired, transferred and integrated market knowledge by investing in digital technologies and idiosyncratic resources and consequently developed a supply chain model that was resilient in addressing logistics and delivery challenges in uncertain & critical times.Research limitations/implicationsThe study brings together three main research streams of organizational theory, namely supply chain, knowledge management and dynamic capabilities, and proposes a nuanced resilient supply chain model.Practical implicationsBy applying the research findings, managers can adjust, develop and adopt supply chain resilience to address market volatilities, thereby creating value and longevity in their supply chain operations. However, the findings are context specific and should be applied cautiously.Originality/valueThe outcomes provide early hints on how companies in emerging economies can adopt and integrate novel digital technologies, and overhaul their organizational routines to facilitate knowledge management and develop dynamic capabilities, and consequently enhance the resilience of their supply chain operations.

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“…Transport and logistics sectors are following a trend towards increased automation levels so that these sectors integrate their business models to access different market segments. The increased availability of information through the physical internet and open standards encourages manufacturers to reposition their supply chains to support social and data-driven market dynamics and innovation in traceability and acquisitiveness [253,254].…”

Section: Transport and Logisticsmentioning

confidence: 99%

A Taxonomy Study on Securing Blockchain-based Industrial Applications: An Overview, Application Perspectives, Requirements, Attacks, Countermeasures, and Open Issues

Hameed¹,

Barika²,

Garg³

et al. 2021

Preprint

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Blockchain technology has taken on a leading role in today's industrial applications by providing salient features and showing significant performance since its beginning. Blockchain began its journey from the concept of cryptocurrency and is now part of a range of core applications to achieve resilience and automation between various tasks. With the integration of Blockchain technology into different industrial applications, many application designs, security and privacy challenges present themselves, posing serious threats to users and their data. Although several approaches have been proposed to address the specific security and privacy needs of targeted applications with functional parameters, there is still a need for a research study on the application, security and privacy challenges, and requirements of Blockchain-based industrial applications, along with possible security threats and countermeasures. This study presents a state-of-the-art survey of Blockchain-based Industry 4.0 applications, focusing on crucial application and security and privacy requirements, as well as corresponding attacks on Blockchain systems with potential countermeasures. We also analyse and provide the classification of different security and privacy techniques used in these applications to enhance the advancement of security features. Furthermore, we highlight some open issues in industrial applications that help to design secure Blockchain-based applications as future directions.

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Supply chain data integration: A literature review

Cited by 35 publications

References 104 publications

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

A hyper-hybrid fuzzy decision-making framework for the sustainable-resilient supplier selection problem: a case study of Malaysian Palm oil industry

Toward a resilient supply chain model: critical role of knowledge management and dynamic capabilities

A Taxonomy Study on Securing Blockchain-based Industrial Applications: An Overview, Application Perspectives, Requirements, Attacks, Countermeasures, and Open Issues

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